小时缺失数据补充定时任务

jinpengyong

2021-08-05 faf8649ff22b8af12c758355725389204838e02a

 screen-job/src/main/java/com/moral/api/service/impl/HistoryFiveMinutelyServiceImpl.java

@@ -1,7 +1,9 @@
package com.moral.api.service.impl;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.ObjectUtils;

import java.util.ArrayList;
@@ -17,10 +19,11 @@
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.moral.api.entity.Sensor;
import com.moral.api.mapper.HistoryFiveMinutelyMapper;
import com.moral.api.mapper.HistoryMinutelyMapper;
import com.moral.api.service.HistoryFiveMinutelyService;
import com.moral.api.service.HistoryMinutelyService;
import com.moral.api.service.SensorService;
import com.moral.constant.Constants;
import com.moral.constant.RedisConstants;
import com.moral.util.AmendUtils;
import com.moral.util.DateUtils;

@@ -31,10 +34,13 @@
    private HistoryFiveMinutelyMapper historyFiveMinutelyMapper;

    @Autowired
    private HistoryMinutelyService historyMinutelyService;
    private HistoryMinutelyMapper historyMinutelyMapper;

    @Autowired
    private SensorService sensorService;

    @Autowired
    private RedisTemplate redisTemplate;

    @Override
    public void createTable(String timeUnits) {
@@ -42,6 +48,7 @@
    }

    @Override
    @Transactional
    public void insertHistoryFiveMinutely() {
        //时间格式化：yyyy-MM-dd HH:mm
        String format = DateUtils.yyyy_MM_dd_HH_mm_EN;
@@ -62,8 +69,8 @@
        queryWrapper.select("code").eq("is_delete", Constants.NOT_DELETE);
        List<Object> sensorCodes = sensorService.listObjs(queryWrapper);

        //获取所有设备的5分钟数据
        List<Map<String, Object>> fiveMinutelyData = historyMinutelyService.getHistoryFiveMinutelyData(params);
        //获取所有设备的5分钟内的数据
        List<Map<String, Object>> fiveMinutelyData = historyMinutelyMapper.getHistoryMinutelyData(params);
        if (fiveMinutelyData.size() == 0) {
            return;
        }
@@ -109,6 +116,8 @@
                }
            });
            dataMap.put("value", JSONObject.toJSONString(jsonMap));
            //存入redis
            redisTemplate.opsForHash().put(RedisConstants.DATA_FIVE_MINUTES, key, jsonMap);
            insertData.add(dataMap);
        });

@@ -116,68 +125,5 @@
        String insertTimeUnits = DateUtils.dateToDateString(now, DateUtils.yyyyMM_EN);
        //存入数据库
        historyFiveMinutelyMapper.insertHistoryFiveMinutely(insertData, insertTimeUnits);
    }


    public static void main(String[] args) {
       /* //模拟数据
        List<Map<String, Object>> list = new ArrayList<>();
        Map<String, Object> map1 = new HashMap<>();
        map1.put("mac", "p5dnd1234567");
        map1.put("value", "{\"a0001\": 10, \"a0002\": 8, \"a0001-Flag\": \"N\", \"a0002-Flag\": \"N\"}");
        Map<String, Object> map2 = new HashMap<>();
        map2.put("mac", "p5dnd123456789");
        map2.put("value", "{\"a0001\": 12, \"a0002\": 12, \"a0001-Flag\": \"N\", \"a0002-Flag\": \"N\"}");
        Map<String, Object> map3 = new HashMap<>();
        map3.put("mac", "p5dnd1234567");
        map3.put("value", "{\"a0001\": 6, \"a0002\": 20, \"a0001-Flag\": \"N\", \"a0002-Flag\": \"N\", \"a0003\": 14}");
        Map<String, Object> map4 = new HashMap<>();
        map4.put("mac", "p5dnd1234567");
        map4.put("value", "{\"a0001\": 4, \"a0002\": 16, \"a0001-Flag\": \"N\", \"a0002-Flag\": \"N\", \"a0003\": 16}");
        list.add(map1);
        list.add(map2);
        list.add(map3);
        list.add(map4);

        //数据按mac分组
        Map<String, List<Map<String, Object>>> data = list.parallelStream().collect(Collectors.groupingBy(o -> (String) o.get("mac")));
        System.out.println(data);

        //所有因子
        List<Object> sensors = new ArrayList<>();
        sensors.add("a0001");
        sensors.add("a0002");
        sensors.add("a0003");

        //插入数据库结果集
        List<Map<String, Object>> insertData = new ArrayList<>();

        data.forEach((key, value) -> {
            Map<String, Object> dataMap = new HashMap<>();
            Map<String, Object> jsonMap = new HashMap<>();
            dataMap.put("mac", key);
            sensors.forEach(sensorCode -> {
                OptionalDouble optionalDouble = value.parallelStream()
                        .flatMapToDouble(v -> {
                            Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class);
                            Object sensorValue = dataValue.get(sensorCode.toString());
                            if (ObjectUtils.isEmpty(sensorValue)) {
                                return null;
                            }
                            return DoubleStream.of(Double.parseDouble(sensorValue.toString()));
                        }).average();
                if (optionalDouble.isPresent()) {
                    jsonMap.put(sensorCode.toString(), Double.parseDouble(String.format("%.4f", optionalDouble.getAsDouble())));
                }
            });
            dataMap.put("value", JSONObject.toJSONString(jsonMap));
            insertData.add(dataMap);
        });


        System.out.println("666==" + insertData);*/

        double a = 5.5d;
        System.out.println(Math.round(a));
    }
}